Update dependency numpy to v2.5.2 (#4516)

Bumps [torch](https://github.com/pytorch/pytorch) from 2.7.0 to 2.13.0.
- [Release notes](https://github.com/pytorch/pytorch/releases)
- [Changelog](https://github.com/pytorch/pytorch/blob/main/RELEASE.md)
- [Commits](https://github.com/pytorch/pytorch/compare/v2.7.0...v2.13.0)

---
updated-dependencies:
- dependency-name: torch
  dependency-version: 2.13.0
  dependency-type: direct:production
...

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Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

community-content/pytorch_image_classification_single_gpu_with_vertex_sdk_and_torchserve/trainer/requirements.txt

@@ -1,3 +1,3 @@
-torch==2.7.0
+torch==2.13.0
 torchvision==0.9.1
 tensorboard==2.5.0

community-content/tf_agents_bandits_movie_recommendation_with_kfp_and_vertex_sdk/mlops_pipeline_tf_agents_bandits_movie_recommendation/src/simulator/requirements.txt

@@ -1,5 +1,5 @@
 dataclasses==0.6
 google-cloud-aiplatform==1.8.1
 tensorflow==2.12.1
-pillow==12.1.1
+pillow==12.3.0
 tf-agents==0.8.0

community-content/vertex-distributed-training/a3mega/llama-3-8b-nemo-pretraining/requirements.txt

@@ -32,7 +32,7 @@ pathspec==0.12.1
 platformdirs==4.3.8
 proto-plus==1.26.1
 protobuf==5.29.6
-pyasn1==0.6.3
+pyasn1==0.6.4
 pyasn1_modules==0.4.2
 pydantic==2.11.4
 pydantic_core==2.33.2

notebooks/community/model_garden/model_garden_pytorch_kimi_k3_deployment.ipynb

@@ -248,7 +248,7 @@
       "id": "40f70977",
       "metadata": {
         "cellView": "form",
-        "id": "57b3dba979e2"
+        "id": "7c2e6903ad6d"
       },
       "outputs": [],
       "source": [
@@ -258,7 +258,9 @@
         "\n",
         "# @markdown The pre-built serving docker image for SGLang.\n",
         "# @markdown The current B200 serving support in Model Garden is preliminary and will be continuously improved in the future.\n",
-        "SGLANG_DOCKER_URI = \"us-docker.pkg.dev/vertex-ai/vertex-vision-model-garden-dockers/sglang-airlock:kimi-k3-v13\"\n",
+        "SGLANG_DOCKER_URI = (\n",
+        "    \"us-docker.pkg.dev/agent-platform-mg-public/containers/sglang-airlock:kimi-k3\"\n",
+        ")\n",
         "\n",
         "# @markdown Choose whether to use a [Spot VM](https://cloud.google.com/compute/docs/instances/spot) for the deployment.\n",
         "is_spot = False  # @param {type:\"boolean\"}\n",

skills/vertex-tuning/open-model/references/requirements.txt

@@ -1,5 +1,5 @@
 google-cloud-aiplatform==1.138.0
-numpy==2.4.4
+numpy==2.5.2
 pandas==3.0.1
 datasets==2.18.0
 smart_open[gcs]==7.5.1

skills/vertex-tuning/references/requirements.txt

@@ -1,4 +1,4 @@
 google-cloud-aiplatform==1.138.0
-numpy==2.4.4
+numpy==2.5.2
 pandas==3.0.1
 datasets==2.18.0